Operational fit score
Score facility type, data source, integration reality, operational pain, urgency, and implementation readiness before a technical demo.
- Facility fit
- Data readiness
- Integration path
Industrial AI Audit
Move demos to pilots.
Built for predictive maintenance, computer vision inspection, factory analytics, mining, energy, utility, logistics, manufacturing AI, and other industrial AI vendors with complex buyer journeys.
Audit focus
The audit looks for one operating leak worth fixing.
This is not a generic AI assessment. It is a fit filter for whether a narrow Revenue System Sprint should exist, who should own it, and what number should move first.
Demo-to-pilot workflow
Turn demos into pilot criteria, proof requirements, buyer commitments, business-case materials, and CRM next steps.
- Pilot criteria
- Proof required
- Buyer action
Solutions handoff
Give solutions engineers the context they need while protecting them from curiosity-only or low-readiness accounts.
- Discovery context
- Expert trigger
- Follow-up owner
Fit decision
Route the opportunity before scope gets expensive.
The right outcome is a direct recommendation: qualified for a fit call, nurture until the evidence is sharper, or not a fit for a sprint.
Qualified
High-value opportunity path, clear owner, CRM access, implementation budget, urgency, and enough volume to justify a sprint.
- Fit call
- Sprint hypothesis
- Owner assigned
Nurture
Real market and offer, but the leak, budget, CRM reality, lead volume, or urgency needs stronger evidence before implementation.
- Tighten evidence
- Clarify metric
- Reopen later
Not fit
The issue is product-market fit, low-value demand, no system access, no clear owner, or curiosity about AI without a revenue path.
- No sprint push
- Useful next step
- Protect expert time
Next step
Start with the audit.
If there is a measurable leak worth fixing, the Revenue Audit tells us whether the Revenue System Sprint should exist.
Apply for a Revenue Audit